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Data Operations Jobs in Indiana (NOW HIRING)

Google

Data Center Operations Area Lead

Fort Wayne, IN · On-site

Lead the strategy and ongoing operation of Google's growing portfolio of data centers within the area * Lead the electrical and cooling infrastructure operations of the data center campuses within ...

Google

Data Center Operations Site Lead

Monrovia, IN · On-site

As a Hardware Operations Manager, you will manage a team of Data Center Technicians. You will oversee the quality installation of server hardware and components and take charge of complicated ...

New

CSpring

Data Analyst

Indianapolis, IN · On-site

Analyze, document, and validate program operational needs, reporting requirements, and data governance requirements for evaluating outcomes. * Facilitate stakeholder discussions, working sessions ...

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All JobsData Operations JobsData Operations Jobs in Indiana

Data Operations information

See Indiana salary details

$49.5K

$122.3K

$190.3K

How much do data operations jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data operations in Indiana is $122,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $155,600.00 per year, depending on experience, location, and employer.

What is a data operations?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this role often work with data management tools, databases, and automation processes to support data-driven decision-making.

What types of teams and departments does data operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in data operations, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in Indiana? The most popular types of Data Operations jobs in Indiana are:
What are popular job titles related to Data Operations jobs in Indiana? For Data Operations jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in Indiana look for? The top searched job categories for Data Operations jobs in Indiana are:
Data Operations jobs near you
Infographic showing various Data Operations job openings in Indiana as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $122,300 per year, or $58.8 per hour.

Data Operations Engineer

Purdue Research Foundation

West Lafayette, IN • On-site

$102K - $123K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Data Operations Engineer
Department: IT
Employment Type: Full Time
Location: Purdue for Life Foundation
Description
This is a Hybrid position with requirements to live within reasonable driving distance (within 1 hour) of West Lafayette, Indiana.
Working for the Purdue For Life Foundation offers a unique opportunity to be part of an organization dedicated to empowering Purdue University alumni and fostering a lifelong connection to the institution. By joining our team, you'll have the chance to contribute to a mission that supports educational initiatives, scholarships, and programs that positively impact the lives of Purdue students and graduates. The Foundation's commitment to education and community engagement provides a fulfilling work environment where you can make a meaningful difference in the lives of individuals and the broader community. Additionally, you'll have access to a network of passionate colleagues and the resources needed to drive positive change, making the Purdue For Life Foundation an inspiring and rewarding place to build your career. Your next giant leap starts here.
Responsibilities
  • Design and implement scalable data pipelines and integration frameworks that enable reliable data exchange across campus systems, cloud platforms, third-party applications, and APIs.
  • Manage medium to large data initiatives, coordinating activities across teams and ensuring solutions support departmental objectives.
  • Implement and enhance established standards for data integration, automated validation, and data quality.
  • Maintain and improve monitoring practices that improve pipeline reliability and deliver dependable, scalable data solutions.
  • Analyze complex data challenges, identify root causes, and implement solutions that improve overall data ecosystem performance.
  • Improve enterprise data workflows through performance tuning and automation.
  • Promote reliable operations through continuous improvement and operational best practices.
  • Partner with business and technical stakeholders to align data solutions with strategic objectives and ensure data is accessible, trusted, and actionable.
  • Support data governance by implementing standards and promoting consistent data management practices.
  • Provide technical leadership for enterprise data engineering and operations initiatives.
  • Guide and mentor team members by providing coaching, reviewing work, and supporting skill development across the function.
  • Develop and maintain documentation for data architecture, integration workflows, metadata, and operational procedures.
  • Evaluate and recommend tools, technologies, and architectural approaches to enhance data capabilities and operational effectiveness.
  • Exercise independent judgment in selecting methods and approaches for new assignments, ensuring alignment with departmental priorities.
  • Perform other duties as needed.

Required Skills, Knowledge and Abilities
  • Deep understanding of data warehousing and large-scale data processing.
  • Strong understanding of enterprise data architecture principles.
  • Strong programming and scripting skills (e.g., Python, Shell).
  • Ability to evaluate complex systems and recommend effective, scalable architectural solutions.
  • Strong knowledge of enterprise data governance and data quality practices.
  • Demonstrated ability to manage medium to large cross-functional projects and coordinate successful delivery across teams.
  • Ability to translate strategic objectives into technical solutions and actionable plans.
  • Excellent communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders across the organization.
  • Build collaborative relationships across functional teams to coordinate data operations efforts and support successful project delivery.
  • Strong organizational and problem-solving skills, with the ability to manage competing priorities in a dynamic environment.

Required Education, Experience and Benefits Summary
  • Minimum of 5 years' experience working with enterprise data integration, ETL/ELT development, data pipelines, and data platforms.
  • Bachelor's degree required.
  • Advanced proficiency in SQL and strong experience with complex data structures, relational and dimensional modeling.
  • Advanced experience designing and implementing scalable ETL/ELT pipelines and data integration frameworks.
  • Experience with cloud-based data platforms, such as Snowflake.
  • Experience automating data workflows and integrating enterprise APIs.
  • Experience with metadata management and data privacy principles.

Job Level: Professional 4 IT
*Purdue For Life Foundation job levels and compensation ranges are independent of, and differ from, those of Purdue University.
Benefits Summary for eligible employees:
  • 10 paid holidays per year.
  • Accrue up to 22 vacation days a year.
  • Traditional pre-tax 403(b) and Roth retirement plans available.
  • 10% employer contribution to your retirement plan and immediate vesting.
  • Health Savings Account- earn up to $700 annually towards medical expenses.
  • Employer funded Preventative Dental and Vision insurance.
  • Tuition discounts on eligible programs at Purdue University and Purdue Global for qualified employees, spouses, and dependents.

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